On April 1, Sorbonne University launched PostGenAI@Paris, a major AI research cluster focused on developing artificial intelligence that is ethical, transparent, and socially responsible. University president Nathalie Drach-Temam emphasized the importance of countering misinformation and improving public understanding of AI.
The initiative is part of France’s broader national AI strategy, with €360 million in public funding awarded to nine clusters. PostGenAI@Paris received €35 million and brings together 16 academic institutions, over 60 companies, and partners like the National Museum of Natural History.
Led by the Sorbonne Center for Artificial Intelligence (SCAI), the cluster explores generative technologies, health applications such as robotic surgery, and AI’s role in justice and education. It operates through 21 interdisciplinary Collaborative Acceleration Programmes (CAPs), each combining expertise from institutions like Sciences Po and Sorbonne University.
Similarly, Paris-Saclay University’s DATAIA Institute, which received €20 million, focuses on foundational AI research, health, and environmental applications. It fosters collaboration between researchers of different disciplines through excellence and synergy chairs, open to industrial partnerships.
Both clusters also prioritize education, offering AI training for students and professionals. Macron’s goal is to train 100,000 people annually in AI by 2030. PostGenAI@Paris integrates teaching into every CAP, while DATAIA has launched a master’s in trustworthy AI.
With global partnerships and growing cooperation between institutions, France aims to become a leader in ethical, high-impact AI innovation, attracting international talent while fostering local expertise.
